| 摘要: |
| 为了提高入侵检测在网络安全应用领域的效率以及准确度,对当前各类入侵检测技术方法的优缺点进行了比较,重点对基于遗传算法的入侵检测技术进行了分析,最终通过较好的基因编码以及改进的适应度构造函数,提高了基于遗传算法的入侵检测的效率及准确度,并使用仿真实验验证了改进后方法的有效性。 |
| 关键词: 入侵检测 遗传算法 适应度函数 |
| DOI： |
| 投稿时间：2013-04-12修订日期：2013-08-14 |
| 基金项目: |
|
| The Study of Intrusion Detection based on Genetic Algorithm |
|
JIA Deng, YANG Ying
|
| (School of Computer and Electronical Information, Guangxi University, Nanning, Guangxi, 530004, China) |
| Abstract: |
| To improve the efficiency and accuracy of intrusion detection technology, this paper analyses the advantages and shortcomings of current existing intrusion detection technologies, especially the intrusion detection technologies based on genetic algorithm. Finally, the efficiency and accuracy of intrusion detection based on genetic algorithm was enhanced by improving encoding and fitness construction function, simultaneously the simulation results showed affectivity of the algorithm. |
| Key words: intrusion detection genetic algorithm fitness function |
